Quantitative Methods In The Social Sciences · Columbia University
I learned some basic knowledge about python, SQL, function, test, etc.
SQL, api client, python language, github project, coding, etc
This was by far my most educational course this semester. I learned many skills with regard to coding, programming, and different tools that exist for interacting with data. I feel much more confident in my ability to work with programs like Git, Python, SQL, and terminals. The course is something of a trial-by-fire, but it is incredibly informative.
Building blocks of Python from almost the beginning (installation, syntax) to publishing packages
Datatypes in Python. Data manipulation in Python. Packaging, deployment and documentation of custom Python libraries. Programmatically accessing public Application Processing interfaces (APIs).
Modern...data... structures...? I feel like I learned a lot of skills that will be applicable to when I work such as looking through APIs, some SQL, general coding in Python
Data wrangling in Python with Pandas, functions, regular expressions, testing, creating a package, API calls, SQL, an intro to cloud computing
Intro to Python and Virtual Environments, Data Wrangling with pandas, Functions, Testing, Creating Python Package, APIs, Web Scraping from HTML, SQL ,Amazon Web Services and Parallelization
This course is extremely excellent! It is very nice for some beginners. The teacher is quite nice and the logic of this course is clear. The slides are explict and guidance is clear. However, it is a little bit difficult to set up the environment, but it is fine after all setting. Sometimes the homework is difficult.
The course has many content to take in and the professor organizes each class in a reasonable way.